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Remote | Data Science Specialist — $150–$350/hour

Role overview

Qualifications

  • Background in data science, analytics, statistics, or a closely related field
  • Strong professional experience analysing complex datasets
  • Expert-level proficiency in Microsoft PowerPoint
  • Excellent written communication and content-editing skills

Responsibilities

  • Analyse datasets using sound statistical and analytical methods
  • Reconstruct data-driven business slides in Microsoft PowerPoint
  • Transform complex datasets into accessible visual insights
  • Develop analytical reports summarising findings, trends, and recommendations

Key facts

Hard skills

Other skills

  • Microsoft PowerPoint
  • Consulting
  • Critical Thinking
  • Detail Oriented

About the company

24-MAG logo

24-MAG

Business Consulting & Services

Company details

IndustryBusiness Consulting & Services
Company size2 - 10

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Job description

We are sharing a specialised consulting opportunity for experienced Data Science and Analytics professionals with strong expertise in statistical reasoning, data analysis, data visualisation, executive presentations, and Microsoft PowerPoint to contribute to an advanced AI training and presentation-evaluation project.

Selected professionals will reconstruct and enhance data-driven presentations, translate complex datasets into clear business insights, develop analytical reports, and improve the quality of visual and written communication. The opportunity is particularly suited to professionals who combine strong quantitative judgement with polished presentation and storytelling skills. No prior AI experience is required.

Key Responsibilities

Data Analysis & Statistical Reasoning

  • Analyse datasets using sound statistical and analytical methods
  • Identify meaningful trends, patterns, relationships, and anomalies
  • Translate quantitative findings into practical business conclusions
  • Evaluate whether analytical claims are appropriately supported by available data
  • Apply critical judgement to both quantitative and qualitative information

PowerPoint Reconstruction & Presentation Design

  • Reconstruct data-driven business slides in Microsoft PowerPoint
  • Redesign presentations to improve clarity, hierarchy, and visual consistency
  • Preserve core analytical meaning while strengthening slide structure
  • Apply professional presentation-design principles across executive-facing materials
  • Deliver polished slides suitable for business and analytical audiences

Data Visualisation & Visual Storytelling

  • Transform complex datasets into accessible visual insights
  • Select appropriate charts, tables, and graphical structures for analytical findings
  • Improve visual hierarchy and emphasis across data-heavy presentations
  • Build narratives that connect evidence, insights, and recommendations
  • Tailor visual communication to different stakeholder and executive audiences

Analytics Reporting & Content Development

  • Develop analytical reports summarising findings, trends, and recommendations
  • Edit presentation content for accuracy, clarity, flow, and narrative impact
  • Refine headings, action titles, and explanatory commentary
  • Ensure written conclusions align with underlying quantitative analysis
  • Produce concise, decision-useful communication from complex information

Review, Quality & Iterative Improvement

  • Critically review existing presentations and analytical reports
  • Identify weak visualisations, unclear messaging, or unsupported conclusions
  • Refine deliverables against presentation and data-communication best practices
  • Participate in feedback cycles and incorporate project-specific revisions
  • Maintain high standards of accuracy, consistency, and attention to detail

Ideal Profile

  • Background in data science, analytics, statistics, or a closely related field
  • Strong professional experience analysing complex datasets
  • Advanced statistical reasoning and analytical problem-solving capabilities
  • Expert-level proficiency in Microsoft PowerPoint
  • Strong slide-reconstruction and presentation-design skills
  • Demonstrated ability to visualise complex information effectively
  • Experience translating quantitative findings into business-oriented insights
  • Strong understanding of data storytelling and visual communication
  • Experience creating analytics reports for diverse stakeholders
  • Excellent written communication and content-editing skills
  • Strong critical thinking and exceptional attention to detail
  • Ability to communicate analytical conclusions clearly and concisely
  • Portfolio or professional experience demonstrating sophisticated presentation work is highly valuable
  • Consulting experience is advantageous but not required
  • Comfortable working in remote, collaborative environments with evolving requirements
  • No prior AI-training or model-evaluation experience is required

Engagement Details

  • Independent contractor engagement
  • Remote — United States, United Kingdom, or Canada only
  • Compensation: $150–$350/hour
  • Work will involve data analysis, statistical reasoning, PowerPoint reconstruction, presentation design, data visualisation, and analytics reporting
  • Assignments may include executive presentations, analytical reports, data-heavy business slides, and related communication materials
  • Strong quantitative judgement and professional presentation skills are central to this engagement
  • Contributors will be expected to balance analytical accuracy with clear and compelling visual communication
  • Iterative review and feedback cycles may be part of project delivery
  • Project scope, datasets, presentation types, and analytical requirements may evolve depending on project needs
  • No prior AI experience is required
  • Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, organisation, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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